Electrical and Computer Engineering ETDs
Publication Date
Fall 11-1-2024
Abstract
This paper introduces an interactive model and architectural framework for a smart grid system, emphasizing the prosumers dual roles as energy buyers and sellers within localized energy trading markets, i.e., coalitions. Initially, the utilities of both buyers and sellers are formulated to capture the benefits derived from their energy-related activities. Then, the paper presents the Approximate SMARTFORM (ASMARTFORM) mechanism, based on the principles of matching theory, to enhance the prosumers engagement in coalitions by addressing externalities influencing their decisions. To further improve the coalition formation process, the Accurate SMARTFORM (AccSMARTFORM) mechanism is formulated based on the theory of coalition games, utilizing the suboptimal output of ASMARTFORM as input. The paper analyzes the existence of a Nash-Individually stable partition of prosumers in coalitions. Simulation results, utilizing real data from the U.S. Energy Information Administration, validate the operational effectiveness and scalability of both ASMARTFORM and AccSMARTFORM mechanisms. A comprehensive comparison with alternative coalition formation methods, including minimum energy prices, demonstrates the superior performance of AccSMARTFORM in meeting buyers energy demand and maximizing sellers profit.
Document Type
Thesis
Language
English
Degree Name
Computer Engineering
Level of Degree
Masters
Department Name
Electrical and Computer Engineering
First Committee Member (Chair)
Eirini Eleni Tsiropoulou
Second Committee Member
Jim Plusquellic
Third Committee Member
Aris Leivadeas
Recommended Citation
Baca, Issiac. "Autonomous Coalition Formation for Energy Trading in Intelligent Grid Systems." (2024). https://digitalrepository.unm.edu/ece_etds/683
